Comparison
awesome-evals vs hallucination-index
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
Markdown twin · awesome-evals alternatives · hallucination-index alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | awesome-evals | hallucination-index |
|---|---|---|
| Maintenance | Active (26d since push) As of 4w · github_public_v1 | Dormant (365d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-evals
- A curated library of resources for building and evaluating AI agents
- hallucination-index
- Initiative to evaluate and rank popular LLMs based on hallucination propensity
Stars
- awesome-evals
- 761
- hallucination-index
- 116
Forks
- awesome-evals
- 71
- hallucination-index
- 8
Open issues
- awesome-evals
- 21
- hallucination-index
- 1
Language
- awesome-evals
- -
- hallucination-index
- -
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- hallucination-index
- Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
Persona
- awesome-evals
- -
- hallucination-index
- -
Runtime
- awesome-evals
- -
- hallucination-index
- -
License
- awesome-evals
- Other
- hallucination-index
- -
Last pushed
- awesome-evals
- Jul 1, 2026
- hallucination-index
- Jul 28, 2025
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- hallucination-index
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- hallucination-index
- Dormant (18%)
Days since push
- awesome-evals
- 26d
- hallucination-index
- 365d
Open issues (now)
- awesome-evals
- 21
- hallucination-index
- 1
Full report
- awesome-evals
- Trust report
- hallucination-index
- Trust report
Choose awesome-evals if…
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- Also covers AI Agents.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
When NOT to use awesome-evals
- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content
Choose hallucination-index if…
- Tags unique to hallucination-index: hallucinations, large language models, openai, rag.
- Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios.
- Leaner open-issue backlog (1).
When NOT to use hallucination-index
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance.
- Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Jul 1, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rungalileo/hallucination-index) · observed Jul 29, 2026
- GitHub forks (rungalileo/hallucination-index) · observed Jul 29, 2026
- Last push (rungalileo/hallucination-index) · observed Jul 28, 2025
- License file (unknown) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · hallucination-index 116 (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and hallucination-index?
- awesome-evals: A curated library of resources for building and evaluating AI agents. hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over hallucination-index?
- Choose awesome-evals over hallucination-index when Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose hallucination-index over awesome-evals?
- Choose hallucination-index over awesome-evals when Tags unique to hallucination-index: hallucinations, large language models, openai, rag; Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios; Leaner open-issue backlog (1).
- When should I avoid awesome-evals?
- Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
- When should I avoid hallucination-index?
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
- Is awesome-evals or hallucination-index more popular on GitHub?
- awesome-evals has more GitHub stars (761 vs 116). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and hallucination-index open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-evals or hallucination-index?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and hallucination-index alternatives (awesome-evals markdown twin, hallucination-index markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-evals or hallucination-index?
- awesome-evals: Active. hallucination-index: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome-evals and hallucination-index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; hallucination-index trust report.